quant-rag
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Alternatives to quant-rag
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TDQS
Scored across 10 tools
Most tools have clearly distinct purposes: search_documents (semantic search), search_graph (entity mention search), expand_entity (entity neighbors), connect_entities (co-mentions), get_passage (retrieve chunk), verify_citation/verify_citations (verification), list_documents (bibliographic listing), timeline (chronological overview), corpus_status (index status). The only potential confusion is between search_documents and search_graph, but their descriptions explicitly contrast semantic vs. nominal matching. verify_citation and verify_citations are clearly the same operation with batch vs. single, which is acceptable.
Tool names mostly follow a verb_noun pattern: search_documents, search_graph, get_passage, list_documents, expand_entity, connect_entities, verify_citation, verify_citations, corpus_status, timeline. The pattern is consistent (imperative verb + object), though corpus_status and timeline are noun-only rather than verb_noun, which is a minor deviation. verify_citation vs verify_citations is a clear plural variant.
10 tools is well within the ideal 3-15 range for a RAG/quant-research server. Each tool serves a distinct function: corpus status, search (semantic, graph, timeline), retrieval (get_passage), citation verification (single and batch), document listing, and entity graph exploration (expand, connect). No tool feels redundant or superfluous.
The tool surface covers the full RAG workflow: search (semantic, entity-based, timeline), passage retrieval, citation verification, document listing, corpus status, and entity graph exploration. The domain is a read-only research corpus, so CRUD operations are not expected. The only minor gap might be a tool to get full document text, but get_passage with neighbors and list_documents cover most needs, and the corpus is described as passage-based.